Extended Abstract
An imprecise probability distribution is an instance of second-order uncertainty, that is, uncertainty about uncertainty, or uncertainty2 for short. Another instance is an imprecise possibility distribution . Computation with imprecise probabilities is not an academic exercise – it is a bridge to reality. In the real world, imprecise probabilities are the norm rather than exception. In large measure, real-world probabilities are perceptions of likelihood. Perceptions are intrinsically imprecise, reflecting the bounded ability of human sensory organs, and ultimately the brain, to resolve detail and store information.}
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Dedicated to Peter Walley.
Research supported in part by ONR N00014-02-1-0294,
Research supported in part by ONR N00014-02-1-0294, BT Grant CT1080028046, Omron Grant, Tekes Grant, Chevron Texaco Grant and the BISC Program of UC Berkeley.
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Zadeh, L.A. (2009). Computation with Imprecise Probabilities. In: Navratil, G. (eds) Research Trends in Geographic Information Science. Lecture Notes in Geoinformation and Cartography(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88244-2_7
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DOI: https://doi.org/10.1007/978-3-540-88244-2_7
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